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Data & Infrastructure
200
Exhibitors
15,000
Attendees
Big Data & AI Paris is the premier B2B trade show in France dedicated to the corporate deployment, strategic industrialization, and technical development of artificial intelligence and big data technologies.
Exhibitor mix: The show floor features dedicated exhibition spaces, a strategic/technical/feedback room tracking system, specialized startup zones, and sponsor workshop pavilions.
Big Data & AI Paris is held annually. This page tracks the next confirmed edition — Big Data & AI Paris 2027 dates will be added here once announced.
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Venue
Paris Expo Porte de VersaillesExhibition centre · 216,000 m² · 7 halls · ~5,200 people
A major exhibition and convention centre in Paris, France, offering over 210,000 sqm of exhibition space across 7 pavilions, including a 5,200-seat convention hall. It hosts major international trade shows and events.
📍 1 Place de la Porte de Versailles, 75015 Paris, France
Operated by Viparis
Organizer
RX GlobalSubsidiary · Richmond, United Kingdom · Founded 1968
Organizes trade shows, exhibitions, and events globally across multiple industries.
Exhibitor list
55 companies are exhibiting at Big Data & AI Paris. A sample of 12 is shown below — unlock the full list to see all 55.
Also exhibits at All4Customer One to One Meetings Cannes
Also exhibits at Data Centre World Madrid, Technology for Marketing Madrid, Cyber Security World Madrid
Also exhibits at IT Partners
Also exhibits at Gartner IT Symposium/Xpo, Big Data LDN
43 more exhibitors at Big Data & AI Paris.
Unlock the complete exhibitor list — every company, with optional ICP filtering and verified buying-committee contacts per matched account.
Why people attend
Enterprise decision-makers attend to source cutting-edge data solutions, find specialized integration partners, benchmark technical governance frameworks, and explore real-world AI deployment cases.
Who attends
Exhibitor categories
Speakers
78 speakers at Big Data & AI Paris
Senior Solutions Engineer · Neo4j
"Injecter 50 tables de schéma dans un prompt, c'est offrir à votre LLM un annuaire quand il cherche un numéro. Résultat : des tokens gaspillés, du bruit, et des hallucinations sur les jointures complexes. Dans cet atelier, on retourne le problème. Plutôt que d'élargir le contexte, on améliore la carte : Neo4j stocke la structure de votre base, le glossaire métier, les contraintes et les jointures inférées depuis vos logs. L'agent récupère uniquement le sous-graphe pertinent via recherche sémantique — rien de plus. Sur une base HR réelle (PostgreSQL, ~50 tables) : −20 à −30 % de tokens en moyenne, jusqu'à 10× moins sur les requêtes simples, et +10 points de précision sur les requêtes multi-tables. Vous repartez avec une architecture GraphRAG concrète, testée, applicable à votre stack."
Co-fondateur · Nautylus
"Vos LLM en production : coûts, risques, impact. Ce que vous ne voyez pas encore…"
Co-fondateur · Nautylus
"Vos LLM en production : coûts, risques, impact. Ce que vous ne voyez pas encore…"
ILLUIN Technology
"Workshop 3"
Chief Data & AI Officer · ekino
"Sortir de la boîte noire : construire une plateforme agentique pilotable, durable et sans exploser votre budget"
Sales Consultant · ITESOFT Innovation
"Collecte, conformité, fraude : enfin des parcours 100% automatisés et sécurisés"
VP Delivery Services · Prosci
"Pourquoi les investissements en IA ne génèrent pas le ROI attendu : enseignements tirés de 1 107 organisations"
CEO · Yakadata
"La réalité de l'IA en PME : usages et limites"
JD Conseil
"Workshop 3"
ARTIK CONSULTING
"Workshop 1"
Popsink
"POPSINK"
Suadeo
"Workshop 4"
BLUEWAY
"Du catalogue de données au Data Product"
DREMIO
"Workshop 2"
Alfeo
"Workshop 4"
+ 62 more speakers at this event.
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